What we build
Software that actually does something.
For businesses that want enquiries answered, leads qualified, follow-ups handled, appointments booked, or repetitive work automated.
A new enquiry comes in. Someone reads it. Checks the details. Updates the CRM. Writes a reply. Chases it two days later. Books the call.
Seven steps, and most of them repeat every single time.
An agent takes the repeating parts: read, decide, act, record. A chatbot answers a question. An agent finishes the job.
Most automation fails by creating a new place to look. A dashboard nobody opens. A queue nobody clears.
Agents work inside what your team already has open — CRM, email, forms, calendars, accounting, whatever the job touches. If one stopped tomorrow nothing would be lost. Just slower.
An agent never makes a decision you have not approved.
You set what it handles alone and what comes to you first. Every action is logged with the reasoning behind it, so when something looks wrong you can see where the logic broke — and change it.
When a task needs judgement nobody has written down, we keep a person in it and say so. The goal is not more AI. It is less unnecessary work.
What you get
Meets every enquiry the moment it lands — enriches the record, scores intent, drafts a reply in your voice, books the call.
Turns a scoped request into a priced document off your own rate card, then routes it for approval before it reaches the client.
Resolves tickets that have a known answer. Escalates the rest with the context already gathered.
Records reconciled, statuses synced, reports assembled on schedule. The copying nobody was ever thanked for.
How we approach it
We watch the work for a week and find the tasks that repeat with small variations. Those suit an agent. The rest we leave alone.
We agree what the agent may decide alone, what it must ask about, and what it must never touch. That boundary is the spec.
It works inside the systems you already pay for. No migration, no second database, no new dashboard to remember.
Starts narrow and supervised. Scope widens once its decisions match your team's — never before.
Questions
It escalates rather than guesses, and logs its reasoning. You can see exactly where the logic broke, and we adjust the boundary.
No. Agents operate the tools you already run, so the work stays where your team already looks for it.
As much as you are comfortable with. Most start with a human approving each action, then move to approval-by-exception once the pattern holds.
Access to the tools, and an hour with whoever does the work now. They know the edge cases, and the edge cases are the project.